Abstract Background Literature about SARS-CoV-2 widely discusses the effects of variations
that have spread in the past 3 years. Such information is dispersed in the texts of several …

Server-less computing is a novel cloud-based paradigm that is gaining popularity today for
running widely distributed applications. When it comes to server-less computing, features …

Background Error analysis plays a crucial role in clinical concept extraction, a fundamental
subtask within clinical natural language processing (NLP). The process typically involves a …

Background A wealth of clinically relevant information is only obtainable within unstructured
clinical narratives, leading to great interest in clinical natural language processing (NLP) …

Corporate social responsibility (CSR) is a concept, where organizations can store and
maintain environmental, economic and social issues by including social or environmental …

Patients often face difficulties in understanding their hospitalizations, while healthcare
workers have limited resources to provide explanations. In this work, we investigate the …

Background We aim to use Natural Language Processing to automate the extraction and
classification of thyroid cancer risk factors from pathology reports. Methods We analyzed …

In this paper, the authors, based on a case study of the Polish healthcare IT system being
deployed to the cloud, show the possibilities for limiting the computing resources …

The rapid proliferation and implementation of electronic health record (EHR) systems have
reshaped the documentation and management of patient data. This transformation has …

Background: An increasing number of users are turning to web-based sources as an
important source of health care guidance information. Thus, trustworthy sources of …